What money buys: clients of street sex workers in the US

Marina Della Giusta (), Maria Di Tommaso (), Isilda Shima and Steinar Strøm ()
Authors registered in the RePEc Author Service: Isilda Mara ()

CHILD Working Papers from CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY

Abstract: An econometric model that explores the effect of personal characteristics and attitudes of clients on their demand for prostitution is estimated on data from a survey of clients of street sex workers in the US. The results reveal that clients of street sex workers in our sample have two diametrically opposite profiles: one for clients who declared never to have been with a sex worker or to have been only once, whom we label “experimenters”, and one for the more experienced ones that we name “regulars”. The experimenters correspond to a more machist type, with negative views of women, and of sex workers (who are believed to be different from other women but condemned at the same time), and viewing prostitution as a complement to stable relationships. The regulars have more liberal view of women, and of sex workers, the more they dislike control the more they demand, they like variety. Their demand also increases with age and with having a permanent job, which may indicate a positive income effect. These appear to be men who are happy to satisfy their sexual wants through sex workers, which they prefer to relationships. The users of condoms seem to fit the profile of the regulars, whereas the non-users fit that of the experimenters.

Keywords: Demand for sex; ordered logit; factor analysis; US data (search for similar items in EconPapers)
JEL-codes: C35 D12 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2006-05
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Journal Article: What money buys: clients of street sex workers in the US (2009)
Working Paper: What money buys: clients of street sex workers in the US (2006)
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